TY - GEN
T1 - Lack of resetting of brain dynamics following psychogenic non-epileptic seizures
AU - Faith, Aaron
AU - Krishnan, Balu
AU - Roth, Austin
AU - Kondylis, Efstathios
AU - Williams, Korwyn
AU - Sirven, Joseph
AU - Iasemidis, Leonidas
PY - 2011
Y1 - 2011
N2 - The average delay in diagnosis of psychogenic non-epileptic seizures (PNES) is more than 7 years. During this period, patients with PNES may suffer from side-effects of unnecessary anti-epileptic drugs (AEDs), not receive appropriate treatment, and lead to the expenditure of millions of dollars in unnecessary health care costs. In this study PNES was investigated in a systematic way in terms of resetting of brain dynamics. We used measures from chaos theory to analyze available long-term scalp electroencephalograms (EEGs) recorded from two PNES patients in order to quantify the probability of resetting the brain's spatiotemporal synchronization following PNES. We then compared the likelihood of resetting the brain's synchronization following PNES with other times randomly selected during the recordings. Our results show no significant difference between brain synchronization resetting following PNES versus interictal periods in either patient (p-values of 0.71 and 0.24 respectively). A comparison of these novel results with our prior results of statistically significant (p < 0.05) resetting of brain dynamics following epileptic seizures shows a distinct, possibly defining, difference between PNES and epileptic seizures. This finding could lead to the development of a diagnostic test to distinguish PNES from epileptic seizures.
AB - The average delay in diagnosis of psychogenic non-epileptic seizures (PNES) is more than 7 years. During this period, patients with PNES may suffer from side-effects of unnecessary anti-epileptic drugs (AEDs), not receive appropriate treatment, and lead to the expenditure of millions of dollars in unnecessary health care costs. In this study PNES was investigated in a systematic way in terms of resetting of brain dynamics. We used measures from chaos theory to analyze available long-term scalp electroencephalograms (EEGs) recorded from two PNES patients in order to quantify the probability of resetting the brain's spatiotemporal synchronization following PNES. We then compared the likelihood of resetting the brain's synchronization following PNES with other times randomly selected during the recordings. Our results show no significant difference between brain synchronization resetting following PNES versus interictal periods in either patient (p-values of 0.71 and 0.24 respectively). A comparison of these novel results with our prior results of statistically significant (p < 0.05) resetting of brain dynamics following epileptic seizures shows a distinct, possibly defining, difference between PNES and epileptic seizures. This finding could lead to the development of a diagnostic test to distinguish PNES from epileptic seizures.
KW - Electroencephalography
KW - Medical signal processing
KW - Psychogenic non-epileptic seizures
KW - Spatiotemporal brain dynamics
UR - http://www.scopus.com/inward/record.url?scp=80052172955&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052172955&partnerID=8YFLogxK
U2 - 10.2316/P.2011.737-025
DO - 10.2316/P.2011.737-025
M3 - Conference contribution
AN - SCOPUS:80052172955
SN - 9780889868700
T3 - Proceedings of the IASTED International Symposia on Imaging and Signal Processing in Healthcare and Technology, ISPHT 2011
SP - 116
EP - 122
BT - Proceedings of the IASTED International Symposia on Imaging and Signal Processing in Healthcare and Technology, ISPHT 2011
T2 - IASTED International Symposia on Imaging and Signal Processing in Healthcare and Technology, ISPHT 2011
Y2 - 16 May 2011 through 18 May 2011
ER -